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  1. 1
    Multivariate survival analysis and competing risks /
    “...Texts in statistical science....”
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  2. 2
    Principles of uncertainty /
    by Kadane, Joseph B.
    Published 2011
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  3. 3
    Introduction to statistical process control /
    by Qiu, Peihua, 1965-
    Published 2014
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  4. 4
    Modeling and analysis of stochastic systems /
    by Kulkarni, Vidyadhar G.
    Published 2017
    “...Texts in statistical science....”
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  5. 5
    Generalized additive models : an introduction with R /
    by Wood, Simon N.
    Published 2017
    “...Texts in statistical science....”
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  6. 6
    Stochastic processes : an introduction /
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  7. 7
    Extending the linear model with R : generalized linear, mixed effects and nonparametric regression models /
    by Faraway, Julian James
    Published 2016
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  8. 8
    Analysis of variance, design, and regression : linear modeling for unbalanced data /
    by Christensen, Ronald, 1951-
    Published 2016
    “...Texts in statistical science....”
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  9. 9
    Introduction to functional data analysis /
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  10. 10
    A computational approach to statistical learning /
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  11. 11
    Sampling : design and analysis /
    by Lohr, Sharon L., 1960-
    Published 2019
    “...Texts in statistical science....”
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  12. 12
    Surrogates : Gaussian process modeling, design, and optimization for the applied sciences /
    by Gramacy, Robert B.
    Published 2020
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  13. 13
    Bayesian modeling and computation in Python /
    by Martin, Osvaldo
    Published 2022
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  14. 14
    Probability, statistics, and data : a fresh approach using R /
    by Speegle, Darrin, Clair, Bryan
    Published 2022
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  15. 15
    Stochastic processes with R : an introduction /
    by Korosteleva, Olga
    Published 2022
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  16. 16
    Modeling and analysis of stochastic systems /
    by Kulkarni, Vidyadhar G.
    Published 2017
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  17. 17
    Time series for data science : analysis and forecasting /
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  18. 18
    Introduction to statistical process control /
    by Qiu, Peihua, 1965-
    Published 2014
    “...Texts in statistical science....”
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  19. 19
    Bayesian networks : with examples in R /
    by Scutari, Marco
    Published 2015
    “...Texts in statistical science....”
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  20. 20
    A Primer on Linear Models /
    by Monahan, John F.
    Published 2008
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